{"id":"W6886192092","doi":"10.15018/00000045","title":"フィレンツェのアントニーヌスとコジモ・デ・メディチ : 第二章 コジモとメディチの事業","year":2013,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Cambridge; York University; Harvard University","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007571266,0.000402574,0.0005389326,0.004500031,0.002474478,0.01691279,0.001672301,0.001634132,0.02649111],"category_scores_gemma":[0.0168195,0.0005678567,0.000463432,0.008327816,0.002602994,0.01904697,0.003523032,0.001787275,0.0180005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002758803,"about_ca_system_score_gemma":0.006122526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007460947,"about_ca_topic_score_gemma":0.004686836,"domain_scores_codex":[0.9941581,0.001742981,0.0009584775,0.0009055257,0.001787576,0.0004473116],"domain_scores_gemma":[0.9875179,0.002561374,0.001162909,0.00305602,0.004243491,0.001458372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002742017,0.0001390174,0.01014816,0.0004559946,0.00006505639,0.0002267644,0.00350649,0.0007966457,0.002486387,0.2707014,0.3214802,0.3897197],"study_design_scores_gemma":[0.00003992643,0.00004384718,0.003033981,0.0001612299,0.00005659547,0.0003307186,0.001694028,0.001544367,0.004630912,0.03185197,0.9565222,0.00009029055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06523216,0.005709687,0.2558456,0.06386966,0.006869083,0.001216871,0.03049143,0.02841806,0.5423474],"genre_scores_gemma":[0.5090787,0.004722053,0.2155732,0.008235309,0.002945505,0.0009563763,0.03531997,0.003444171,0.2197247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02649111,"threshold_uncertainty_score":0.08862156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134252125217483,"score_gpt":0.2181526463493754,"score_spread":0.2068101250972006,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}